ArticleEuropean journal of epidemiology2013
Quantifying the contributions of behavioral and biological risk factors to socioeconomic disparities in coronary heart disease incidence: the MORGEN study.
Article in European journal of epidemiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.
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Who cites it
48 citing papers in PubMed.
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- Role of cardiovascular health factors in mediating social inequalities in the incidence of dementia in the UK: two prospective, population-based cohort studies.EClinicalMedicine · 2024Article
- Education and cardiovascular diseases: a Mendelian randomization study.Frontiers in cardiovascular medicine · 2024Article
- Impact of Neighborhood on Cardiovascular Health: A Contemporary Narrative Review.Current cardiology reports · 2023Review
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- Education Level and Self-Reported Cardiovascular Disease in Norway-The Tromsø Study, 1994-2016.International journal of environmental research and public health · 2023Article
- The effects of socioeconomic status on major adverse cardiovascular events: a nationwide population-based cohort study.Kidney research and clinical practice · 2023Article
- Socioeconomic status may affect association of vegetable intake with risk of ischemic cardio-cerebral vascular disease: a Mendelian randomization study.Frontiers in nutrition · 2023Article
- Cross-sectional analysis of educational inequalities in primary prevention statin use in UK Biobank.Heart (British Cardiac Society) · 2022Article
- Self-reported prevalence and potential factors influencing cardio-cerebral vascular disease among the Chinese elderly: A national cross-sectional study.Frontiers in cardiovascular medicine · 2022Article
- The Influence of Socioeconomic Status on the Prognosis and Profile of Patients Admitted for Acute Heart Failure during COVID-19 Pandemic: Overestimated Aspects or a Multifaceted Hydra of Cardiovascular Risk Factors?Healthcare (Basel, Switzerland) · 2021Article
- Roles of allostatic load, lifestyle and clinical risk factors in mediating the association between education and coronary heart disease risk in Europe.Journal of epidemiology and community health · 2021Article
- A cohort study on the relationship between education level and high-risk population of stroke.Ibrain · 2021Article
- Differential educational patterning of cardiometabolic risks between women and men among community-dwelling Chinese adults in Hong Kong: the mediating role of obesity.Public health nutrition · 2021Article
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6 authors.
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Abstract
Quantifying the impact of different modifiable behavioral and biological risk factors on socioeconomic disparities in coronary heart disease (CHD) may help inform targeted, population-specific strategies to reduce the unequal distribution of the disease. Previous studies have used analytic approaches that limit our ability to disentangle the relative contributions of these risk factors to CHD disparities. The goal of this study was to assess mediation of the effect of low education on incident CHD by multiple risk factors simultaneously. Analyses are based on 15,067 participants of the Dutch Monitoring Project on Risk Factors for Chronic Diseases aged 20-65 years examined 1994-1997 and followed for events until January 1, 2008. Path analysis was used to quantify and test mediation of the low education-CHD association by behavioral (current cigarette smoking, heavy alcohol use, poor diet, and physical inactivity) and biological (obesity, hypertension, diabetes, and hypercholesterolemia) risk factors. Behavioral and biological risk factors accounted for 56.6 % (95 % CI 42.6-70.8 %) of the low education-incident CHD association. Smoking was the strongest mediator, accounting for 27.3 % (95 % CI 17.7-37.4 %) of the association, followed by obesity (10.2 %; 95 % CI 4.5-16.1 %), physical inactivity (6.3 %; 95 % CI 2.7-10.0 %), and hypertension (5.3 %; 95 % CI: 2.8-8.0 %). In summary, in a Dutch cohort, the majority of the relationship between low education and incident CHD was mediated by traditional behavioral and biological risk factors. Addressing barriers to smoking cessation, blood pressure and weight management, and physical activity may be the most effective approaches to eliminating socioeconomic inequalities in CHD.
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